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for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
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, water treatment technologies, or environmental remediation techniques, physicochemical materials characterization data analysis and visualization skills Rules governing PhD students are set out in
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remote sensing of vegetation, e.g. spectral mixture analysis. Other merits We are particularly interested in candidates with: Experience with web-GIS development or geospatial data visualization
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and development of bioinformatics methods for the analysis of genomic cancer data, including large public international datasets and locally generated patient-derived sequencing data. The project may
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international, interdisciplinary team. The project provides access to advanced instrumentation and training in data analysis, scientific communication, and collaborative research. About the position We
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relation to human exposure You will work in an international, interdisciplinary team. The project provides access to advanced instrumentation and training in data analysis, scientific communication, and
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mental workload assessment. Support data preprocessing, feature engineering, speech and signal processing, and exploratory analysis of multimodal sensor data. Assist in the development of dashboards and
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computing using clusters like UPPMAX and GPUs for high-performance computing are essential. While not required, experience in genetic and omics data analysis and visualization, and familiarity with network
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precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and
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technologies. The department hosts excellent research infrastructure, including state‑of‑the‑art laboratories and dedicated mass spectrometry facilities for environmental trace analysis (https://www.umu.se/en